Fri, 22 Sep 2017

Package Blaunet updated to version 2.0.6 with previous version 2.0.5 dated 2017-09-14

Title: Calculate and Analyze Blau Status for (Covert) Organizations
Description: An integrated set of tools to calculate and analyze Blau statuses quantifying social distance between individuals belonging to (covert) organizations. Relational (network) data can be incorporated for additional analyses. This project is supported by Defense Threat Reduction Agency (DTRA) Grant HDTRA-10-1-0043.
Author: Cheng Wang*, Michael Genkin*, George Berry, Liyuan Chen, Matthew Brashears *Both authors contributed equally to this work and their names are randomly ordered
Maintainer: Cheng Wang <cwang3@nd.edu>

Diff between Blaunet versions 2.0.5 dated 2017-09-14 and 2.0.6 dated 2017-09-22

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More information about Blaunet at CRAN
Permanent link

Package exams updated to version 2.3-0 with previous version 2.2-1 dated 2017-03-16

Title: Automatic Generation of Exams in R
Description: Automatic generation of exams based on exercises in Markdown or LaTeX format, possibly including R code for dynamic generation of exercise elements. Exercise types include single-choice and multiple-choice questions, arithmetic problems, string questions, and combinations thereof (cloze). Output formats include standalone files (PDF, HTML, Docx, ODT, ...), Moodle XML, QTI 1.2 (for OLAT/OpenOLAT), QTI 2.1, Blackboard, ARSnova, and TCExam. In addition to fully customizable PDF exams, a standardized PDF format (NOPS) is provided that can be printed, scanned, and automatically evaluated.
Author: Achim Zeileis [aut, cre], Bettina Gruen [aut], Friedrich Leisch [aut], Nikolaus Umlauf [aut], Niels Smits [ctb], Mirko Birbaumer [ctb], Dominik Ernst [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between exams versions 2.2-1 dated 2017-03-16 and 2.3-0 dated 2017-09-22

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More information about exams at CRAN
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Package JGR updated to version 1.8-3 with previous version 1.7-16 dated 2013-12-21

Title: Java GUI for R
Description: Java GUI for R - cross-platform, universal and unified Graphical User Interface for R. For full functionality on Windows and Mac OS X JGR requires a start application which depends on your OS.
Author: Markus Helbig <info@markushelbig.de>, Simon Urbanek, Ian Fellows
Maintainer: Markus Helbig <info@markushelbig.de>

Diff between JGR versions 1.7-16 dated 2013-12-21 and 1.8-3 dated 2017-09-22

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Package rprev updated to version 0.2.4 with previous version 0.2.3 dated 2017-02-13

Title: Estimating Disease Prevalence from Registry Data
Description: Estimates disease prevalence for a given index date, using existing registry data extended with Monte Carlo simulations.
Author: Simon Crouch [aut], Stephanie Lax [aut], Stuart Lacy [cre, aut]
Maintainer: Stuart Lacy <stuart.lacy@york.ac.uk>

Diff between rprev versions 0.2.3 dated 2017-02-13 and 0.2.4 dated 2017-09-22

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Package RcppClassic updated to version 0.9.8 with previous version 0.9.7 dated 2017-09-17

Title: Deprecated 'classic' Rcpp API
Description: The RcppClassic package provides a deprecated C++ library which facilitates the integration of R and C++. New projects should use the new Rcpp API in the Rcpp package.
Author: Dirk Eddelbuettel and Romain Francois, with contributions by David Reiss, and based on code written during 2005 and 2006 by Dominick Samperi
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppClassic versions 0.9.7 dated 2017-09-17 and 0.9.8 dated 2017-09-22

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Package dparser updated to version 0.1.4 with previous version 0.1.3 dated 2017-04-29

Title: Port of Dparser Package
Description: A Scannerless GLR parser/parser generator. Note that GLR standing for "generalized LR", where L stands for "left-to-right" and R stands for "rightmost (derivation)". For more information see <https://en.wikipedia.org/wiki/GLR_parser>. This parser is based on the Tomita (1987) algorithm. (Paper can be found at <http://acl-arc.comp.nus.edu.sg/archives/acl-arc-090501d3/data/pdf/anthology-PDF/J/J87/J87-1004.pdf>). The original dparser package documentation can be found at <http://dparser.sourceforge.net/>. This allows you to add mini-languages to R (like RxODE's ODE mini-language Wang, Hallow, and James 2015 <DOI:10.1002/psp4.12052>) or to parse other languages like NONMEM to automatically translate them to R code. To use this in your code, add a LinkingTo 'dparser' in your DESCRIPTION file and instead of using '#include <dparse.h>' use '#include <dparser.h>'. This also provides a R-based port of the make_dparser <http://dparser.sourceforge.net/d/make_dparser.cat> command called 'mkdparser'. Additionally you can parse an arbitrary grammar within R using the 'dparse' function.
Author: Matthew Fidler [aut, cre], John Plevyak [aut]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between dparser versions 0.1.3 dated 2017-04-29 and 0.1.4 dated 2017-09-22

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Package traits updated to version 0.3.0 with previous version 0.2.0 dated 2016-03-18

Title: Species Trait Data from Around the Web
Description: Species trait data from many different sources, including sequence data from 'NCBI', plant trait data from 'BETYdb', plant data from the USDA plants database, data from 'EOL' 'Traitbank', Coral traits data (<https://coraltraits.org>), 'Birdlife' International, and more.
Author: Scott Chamberlain [aut, cre], Zachary Foster [aut], Ignasi Bartomeus [aut], David LeBauer [aut], David Harris [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between traits versions 0.2.0 dated 2016-03-18 and 0.3.0 dated 2017-09-22

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Package showtext updated to version 0.5 with previous version 0.4-6 dated 2017-01-05

Title: Using Fonts More Easily in R Graphs
Description: Making it easy to use various types of fonts ('TrueType', 'OpenType', Type 1, web fonts, etc.) in R graphs, and supporting most output formats of R graphics including PNG, PDF and SVG. Text glyphs will be converted into polygons or raster images, hence after the plot has been created, it no longer relies on the font files. No external software such as 'Ghostscript' is needed to use this package.
Author: Yixuan Qiu and authors/contributors of the included software. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

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Package rase updated to version 0.3-3 with previous version 0.3-2 dated 2017-03-22

Title: Range Ancestral State Estimation for Phylogeography and Comparative Analyses
Description: Implements the Range Ancestral State Estimation for phylogeography described in Quintero, I., Keil, P., Jetz, W., & Crawford, F. W. (2015) <DOI:10.1093/sysbio/syv057>. It also includes Bayesian inference of ancestral states under a Brownian Motion model of character evolution and Maximum Likelihood estimation of rase for n-dimensional data. Visualizing functions in 3D are implemented using the rgl package.
Author: Ignacio Quintero [aut, cre], Forrest W. Crawford [aut], Petr Keil [aut]
Maintainer: Ignacio Quintero <ignacio.quintero@yale.edu>

Diff between rase versions 0.3-2 dated 2017-03-22 and 0.3-3 dated 2017-09-22

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Package quanteda updated to version 0.99.9 with previous version 0.99 dated 2017-08-15

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and ngrams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more.
Author: Kenneth Benoit [aut, cre, cph], Kohei Watanabe [ctb], Paul Nulty [ctb], Adam Obeng [ctb], Haiyan Wang [ctb], Benjamin Lauderdale [ctb], Will Lowe [ctb]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package extraDistr updated to version 1.8.7 with previous version 1.8.6 dated 2017-06-28

Title: Additional Univariate and Multivariate Distributions
Description: Density, distribution function, quantile function and random generation for a number of univariate and multivariate distributions. This package implements the following distributions: Bernoulli, beta-binomial, beta-negative binomial, beta prime, Bhattacharjee, Birnbaum-Saunders, bivariate normal, bivariate Poisson, categorical, Dirichlet, Dirichlet-multinomial, discrete gamma, discrete Laplace, discrete normal, discrete uniform, discrete Weibull, Frechet, gamma-Poisson, generalized extreme value, Gompertz, generalized Pareto, Gumbel, half-Cauchy, half-normal, half-t, Huber density, inverse chi-squared, inverse-gamma, Kumaraswamy, Laplace, logarithmic, Lomax, multivariate hypergeometric, multinomial, negative hypergeometric, non-standard t, non-standard beta, normal mixture, Poisson mixture, Pareto, power, reparametrized beta, Rayleigh, shifted Gompertz, Skellam, slash, triangular, truncated binomial, truncated normal, truncated Poisson, Tukey lambda, Wald, zero-inflated binomial, zero-inflated negative binomial, zero-inflated Poisson.
Author: Tymoteusz Wolodzko
Maintainer: Tymoteusz Wolodzko <twolodzko+extraDistr@gmail.com>

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More information about extraDistr at CRAN
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Package qrcmNL (with last version 0.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-09-22 0.1.0

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Package rpsftm updated to version 1.2.0 with previous version 1.1.0 dated 2017-04-07

Title: Rank Preserving Structural Failure Time Models
Description: Implements methods described by the paper Robins and Tsiatis (1991) <DOI:10.1080/03610929108830654>. These use g-estimation to estimate the causal effect of a treatment in a two-armed randomised control trial where non-compliance exists and is measured, under an assumption of an accelerated failure time model and no unmeasured confounders.
Author: Simon Bond [aut, cre] (primary author of code, secondary author of vignette), Annabel Allison [aut] (primary author of vignette, secondary author of code)
Maintainer: Simon Bond <simon.bond@addenbrookes.nhs.uk>

Diff between rpsftm versions 1.1.0 dated 2017-04-07 and 1.2.0 dated 2017-09-22

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New package USCF with initial version 0.1.3
Package: USCF
Type: Package
Title: Elo Rating of a USCF Member
Version: 0.1.3
Author: Joshua Rubin
Maintainer: Joshua Rubin <jdrubin@middlebury.edu>
Description: Given a U.S. Chess Federation ID number, the elo() function will return the classical Elo rating of that player. The function retrieves the information from the USCF website, making it easier for tournament directors at large tournaments to quickly retrieve the ratings of participants.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-22 16:53:04 UTC; Anatoly
Repository: CRAN
Date/Publication: 2017-09-22 17:24:20 UTC

More information about USCF at CRAN
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Package forega updated to version 1.0.2 with previous version 1.0 dated 2016-01-02

Title: Floating-Point Genetic Algorithms with Statistical Forecast Based Inheritance Operator
Description: The implemented algorithm performs a floating-point genetic algorithm search with a statistical forecasting operator that generates offspring which probably will be generated in future generations. Use of this operator enhances the search capabilities of floating-point genetic algorithms because offspring generated by usual genetic operators rapidly forecasted before performing more generations.
Author: Mehmet Hakan Satman
Maintainer: Mehmet Hakan Satman <mhsatman@istanbul.edu.tr>

Diff between forega versions 1.0 dated 2016-01-02 and 1.0.2 dated 2017-09-22

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Package anomalyDetection updated to version 0.2.4 with previous version 0.2.3 dated 2017-09-14

Title: Implementation of Augmented Network Log Anomaly Detection Procedures
Description: Implements procedures to aid in detecting network log anomalies. By combining various multivariate analytic approaches relevant to network anomaly detection, it provides cyber analysts efficient means to detect suspected anomalies requiring further evaluation.
Author: Andrew McCarthy [aut, cre], Brandon Greenwell [aut], Bradley Boehmke [aut], Robert Gutierrez [aut], Kenneth Bauer [ctb], Trevor Bihl [ctb], Cade Saie [ctb]
Maintainer: Andrew McCarthy <andrew.mccarthy@theperducogroup.com>

Diff between anomalyDetection versions 0.2.3 dated 2017-09-14 and 0.2.4 dated 2017-09-22

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 man/hmat.Rd                                 |    5 
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Package RcppCNPy updated to version 0.2.7 with previous version 0.2.6 dated 2016-09-26

Title: Read-Write Support for 'NumPy' Files via 'Rcpp'
Description: The 'cnpy' library written by Carl Rogers provides read and write facilities for files created with (or for) the 'NumPy' extension for 'Python'. Vectors and matrices of numeric types can be read or written to and from files as well as compressed files. Support for integer files is available if the package has been built with -std=c++11 which is the default starting with release 0.2.3 following the release of R 3.1.0, and available on all platforms following the release of R 3.3.0 with the updated 'Rtools'.
Author: Dirk Eddelbuettel and Wush Wu
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppCNPy versions 0.2.6 dated 2016-09-26 and 0.2.7 dated 2017-09-22

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Package RBMRB updated to version 2.1.0 with previous version 2.0.4 dated 2017-03-03

Title: BMRB Data Access and Visualization
Description: The Biological Magnetic Resonance Data Bank (BMRB,<http:// www.bmrb.wisc.edu/>) collects, annotates, archives, and disseminates (worldwide in the public domain) the important spectral and quantitative data derived from NMR(Nuclear Magnetic Resonance) spectroscopic investigations of biological macromolecules and metabolites. This package provides an interface to BMRB database for easy data access and includes a minimal set of data visualization functions. Users are encouraged to make their own data visualizations using BMRB data.
Author: Kumaran Baskaran
Maintainer: Kumaran Baskaran<kbaskaran@bmrb.wisc.edu>

Diff between RBMRB versions 2.0.4 dated 2017-03-03 and 2.1.0 dated 2017-09-22

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New package OBMbpkg with initial version 1.0.0
Package: OBMbpkg
Type: Package
Title: Estimate the Population Size for the Mb Capture-Recapture Model
Version: 1.0.0
Date: 2017-09-22
Author: Dan Zheng
Maintainer: John Snyder <jcs8v6@mail.missouri.edu>
Description: Applies an objective Bayesian method to the Mb capture-recapture model to estimate the population size N. The Mb model is a class of capture-recapture methods used to account for variations in capture probability due to animal behavior. Under the Mb formulation, the initial capture of an animal may effect the probability of subsequent captures due to their becoming "trap happy" or "trap shy."
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Suggests: stats
NeedsCompilation: no
Packaged: 2017-09-22 15:58:31 UTC; jcs8v_000
Repository: CRAN
Date/Publication: 2017-09-22 16:53:15 UTC

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New package mosaicModel with initial version 0.3.0
Package: mosaicModel
Type: Package
Title: An Interface to Statistical Modeling Independent of Model Architecture
Version: 0.3.0
Author: Kaplan Daniel [aut, cre], Pruim Randall [aut, cre]
Maintainer: Daniel Kaplan <kaplan@macalester.edu>
Description: Provides functions for evaluating, displaying, and interpreting statistical models. The goal is to abstract the operations on models from the particular architecture of the model. For instance, calculating effect sizes rather than looking at coefficients. The package includes interfaces to both regression and classification architectures, including lm(), glm(), rlm() in 'MASS', random forests and recursive partitioning, k-nearest neighbors, linear and quadratic discriminant analysis, and models produced by the 'caret' package's train(). It's straightforward to add in other other model architectures.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
LazyLoad: TRUE
RoxygenNote: 6.0.1
Depends: R (>= 3.1), mosaicCore, splines, dplyr
Imports: caret, ggplot2, ggformula, lazyeval, knitr, MASS, testthat, tibble, tidyr, tidyverse
Suggests: mosaic, mosaicData, randomForest, rpart
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-22 16:14:02 UTC; kaplan
Repository: CRAN
Date/Publication: 2017-09-22 16:21:41 UTC

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Package MBESS updated to version 4.4.0 with previous version 4.3.0 dated 2017-06-06

Title: The MBESS R Package
Description: Implements methods that useful in designing research studies and analyzing data, with particular emphasis on methods that are developed for or used within the behavioral, educational, and social sciences (broadly defined). That being said, many of the methods implemented within MBESS are applicable to a wide variety of disciplines. MBESS has a suite of functions for a variety of related topics, such as effect sizes, confidence intervals for effect sizes (including standardized effect sizes and noncentral effect sizes), sample size planning (from the accuracy in parameter estimation [AIPE], power analytic, equivalence, and minimum-risk point estimation perspectives), mediation analysis, various properties of distributions, and a variety of utility functions. MBESS (pronounced 'em-bes') was originally an acronym for 'Methods for the Behavioral, Educational, and Social Sciences,' but at this point MBESS contains methods applicable and used in a wide variety of fields and is an orphan acronym, in the sense that what was an acronym is now literally its name. MBESS has greatly benefited from others, see <http://nd.edu/~kkelley/site/MBESS.html> for a detailed list of those that have contributed and other details.
Author: Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>

Diff between MBESS versions 4.3.0 dated 2017-06-06 and 4.4.0 dated 2017-09-22

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New package GPPFourier with initial version 2.1
Package: GPPFourier
Version: 2.1
Title: Calculate Gross Primary Production (GPP) from O2 Time Series
Author: Tom Cox <tom.cox@uantwerp.be>
Maintainer: Tom Cox <tom.cox@uantwerp.be>
Description: Implementation of the Fourier method to estimate aquatic gross primary production from high frequency oxygen data, described in Cox, et al (2015) <doi:10.1002/lom3.10046> and Cox, et al (2017) <doi:10.5194/bg-2017-81>.
License: GPL
LazyData: yes
Imports: Tides, mFilter
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-20 07:15:16 UTC; tom
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2017-09-22 16:17:01 UTC

More information about GPPFourier at CRAN
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Package VarSelLCM updated to version 2.0 with previous version 1.2 dated 2015-06-10

Title: Variable Selection for Model-Based Clustering of Continuous, Count, Categorical or Mixed-Type Data Set with Missing Values
Description: Variable Selection for model-based clustering managed by the Latent Class Model. This model analyses mixed-type data (data with continuous and/ or count and/or categorical variables) with missing values (missing at random) by assuming independence between classes. The one-dimensional marginals of the components follow standard distributions for facilitating both the model interpretation and the model selection. The variable selection is led by an alternated optimization procedure for maximizing the Maximum Integrated Complete-data Likelihood criterion. The maximum likelihood inference is done by an EM algorithm for the selected model. This package also performs the imputation of missing values by taking the expectation of the missing values conditionally on the model, its parameters and on the observed variables.
Author: Matthieu Marbac and Mohammed Sedki
Maintainer: Mohammed Sedki <mohammed.sedki@u-psud.fr>

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Package shapes updated to version 1.2.1 with previous version 1.2.0 dated 2017-02-02

Title: Statistical Shape Analysis
Description: Routines for the statistical analysis of landmark shapes, including Procrustes analysis, graphical displays, principal components analysis, permutation and bootstrap tests, thin-plate spline transformation grids and comparing covariance matrices. See Dryden, I.L. and Mardia, K.V. (2016). Statistical shape analysis, with Applications in R (2nd Edition), John Wiley and Sons.
Author: Ian L. Dryden
Maintainer: Ian Dryden <ian.dryden@nottingham.ac.uk>

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Package rlas updated to version 1.1.5 with previous version 1.1.4 dated 2017-06-27

Title: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description: Read and write 'las' and 'laz' binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.3.
Author: Jean-Romain Roussel [aut, cre, cph], Martin Isenburg [cph] (Is the author of the LASlib and LASzip libraries), David Auty [ctb] (Reviewed the documentation), Pierrick Marie [ctb] (Helped to compile LASlib code in R), Florian De Boissieu [ctb] (Enable support of .lax file)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

Diff between rlas versions 1.1.4 dated 2017-06-27 and 1.1.5 dated 2017-09-22

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New package regexSelect with initial version 1.0.0
Package: regexSelect
Version: 1.0.0
Date: 2017-09-22
Title: Regular Expressions in 'shiny' Select Lists
Authors@R: person("Jonathan", "Sidi", email = "yonicd@gmail.com", role = c("aut", "cre"))
Description: 'shiny' extension that adds regular expression filtering capabilities to the choice vector of the select list.
Depends: R (>= 2.3.0)
Imports: shiny, shinyjs
License: GPL-2 | GPL-3
URL: https://github.com/yonicd/regexSelect
BugReports: https://github.com/yonicd/regexSelect/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-22 15:00:06 UTC; jonathans
Author: Jonathan Sidi [aut, cre]
Maintainer: Jonathan Sidi <yonicd@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-22 15:45:17 UTC

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New package qrcmNP with initial version 0.1.0
Package: qrcmNP
Type: Package
Title: Nonlinear and Penalized Quantile Regression Coefficients Modeling
Version: 0.1.0
Author: Gianluca Sottile [aut, cre]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>
Description: Nonlinear and Penalized parametric modeling of quantile regression coefficient functions. Frumento P and Bottai M (2016) <doi:10.1111/biom.12410>.
Imports: stats, graphics, grDevices, utils
Depends: survival, qrcm
License: GPL-2
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-22 15:41:31 UTC; gianlucasottile
Repository: CRAN
Date/Publication: 2017-09-22 15:53:37 UTC

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Package mma updated to version 5.0-1 with previous version 5.0-0 dated 2017-03-29

Title: Multiple Mediation Analysis
Description: Used for general multiple mediation analysis. The analysis method is described in Yu et al. (2014) <doi:10.4172/2155-6180.1000189> "General Multiple Mediation Analysis With an Application to Explore Racial Disparity in Breast Cancer Survival", published on Journal of Biometrics & Biostatistics, 5(2):189; and Yu et al.(2017) <DOI:10.1016/j.sste.2017.02.001> "Exploring racial disparity in obesity: a mediation analysis considering geo-coded environmental factors", published on Spatial and Spatio-temporal Epidemiology, 21, 13-23.
Author: Qingzhao Yu and Bin Li
Maintainer: Qingzhao Yu <qyu@lsuhsc.edu>

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Package eha updated to version 2.4-6 with previous version 2.4-5 dated 2017-05-03

Title: Event History Analysis
Description: Sampling of risk sets in Cox regression, selections in the Lexis diagram, bootstrapping. Parametric proportional hazards fitting with left truncation and right censoring for common families of distributions, piecewise constant hazards, and discrete models. AFT regression for left truncated and right censored data. Binary and Poisson regression for clustered data, fixed and random effects with bootstrapping.
Author: Göran Broström [aut, cre]
Maintainer: Göran Broström <goran.brostrom@umu.se>

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Package DescriptiveStats.OBeu updated to version 1.2.1 with previous version 1.2.0 dated 2017-09-17

Title: Descriptive Statistics OpenBudgets.eu
Description: Estimate and return the needed parameters for visualizations designed for OpenBudgets.eu <http://openbudgets.eu/> datasets. Calculate descriptive statistical measures in Budget data of municipalities across Europe, according to the OpenBudgets.eu data model. There are functions for measuring central tendency and dispersion of amount variables along with their distributions and correlations and the frequencies of categorical variables for a given dataset of the input OpenBudgets.eu fiscal datasets. Also, can be used generally to extract visualization parameters convert them to JSON format and use them as input in a different graphical interface.
Author: Kleanthis Koupidis <koupidis@okfn.gr>, Aikaterini Chatzopoulou <kchatzopoul@okfn.gr>, Charalampos Bratsas <charalampos.bratsas@okfn.org>
Maintainer: Kleanthis Koupidis <koupidis@okfn.gr>

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Package KnowBR updated to version 1.3 with previous version 1.2 dated 2017-03-22

Title: Discriminating Well Surveyed Spatial Units from Exhaustive Biodiversity Databases
Description: It uses species accumulation curves and diverse estimators to assess, at the same time, the levels of survey coverage in multiple geographic cells of a size defined by the user or polygons. It also enables the geographical depiction of observed species richness, survey effort and completeness values including a background with administrative areas.
Author: Cstor Guisande Gonzlez and Jorge M. Lobo
Maintainer: Cstor Guisande Gonzlez <castor@uvigo.es>

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Package haploR updated to version 1.6.1 with previous version 1.6.0 dated 2017-08-22

Title: Query 'HaploReg' and 'RegulomeDB'
Description: A set of utilities for querying 'HaploReg' <http://archive.broadinstitute.org/mammals/haploreg/haploreg.php> and 'RegulomeDB' <http://www.regulomedb.org> web-based tools. The package connects to 'HaploReg' or 'RegulomeDB', searches and downloads results, without opening web pages, directly from R environment. Results are stored in a data frame that can be directly used in various kinds of downstream analyses.
Author: Ilya Y. Zhbannikov [aut, cre], Anatoliy I Yashin [ctb] (Anatoliy supervised the technical/software development and is a Principal Invesigator of this project)
Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov@duke.edu>

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Package GJRM updated to version 0.1-2 with previous version 0.1-1 dated 2017-07-14

Title: Generalised Joint Regression Modelling
Description: Routines for fitting various joint regression models, with several types of covariate effects, in the presence of associated error equations, endogeneity, non-random sample selection or partial observability.
Author: Giampiero Marra <giampiero.marra@ucl.ac.uk> and Rosalba Radice <r.radice@bbk.ac.uk>
Maintainer: Giampiero Marra <giampiero.marra@ucl.ac.uk>

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New package PSW with initial version 1.1-1
Package: PSW
Type: Package
Title: Propensity Score Weighting Methods for Dichotomous Treatments
Description: Provides propensity score weighting methods to control for confounding in causal inference with dichotomous treatments and continuous/binary outcomes. It includes the following functional modules: (1) visualization of the propensity score distribution in both treatment groups with mirror histogram, (2) covariate balance diagnosis, (3) propensity score model specification test, (4) weighted estimation of treatment effect, and (5) doubly robust estimation of treatment effect. The weighting methods include the inverse probability weight (IPW) for estimating the average treatment effect (ATE), the IPW for average treatment effect of the treated (ATT), the IPW for the average treatment effect of the controls (ATC), the matching weight (MW), the overlap weight (OVERLAP), and the trapezoidal weight (TRAPEZOIDAL). Sandwich variance estimation is provided to adjust for the sampling variability of the estimated propensity score. These methods are discussed by Hirano et al (2003) <DOI:10.1111/1468-0262.00442>, Li and Greene (2013) <DOI:10.1515/ijb-2012-0030>, and Li et al (2016) <DOI:10.1080/01621459.2016.1260466>.
Version: 1.1-1
Author: Huzhang Mao <Huzhang.Mao@uth.tmc.edu>, Liang Li <LLi15@mdanderson.org>
Maintainer: Huzhang Mao <Huzhang.Mao@uth.tmc.edu>
License: GPL (>= 2)
Depends: R (>= 3.3)
Imports: stats, Hmisc, gtools, graphics
Encoding: UTF-8
LazyData: true
LazyLoad: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-21 21:40:35 UTC; hmao
Repository: CRAN
Date/Publication: 2017-09-22 13:00:53 UTC

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New package leabRa with initial version 0.1.0
Package: leabRa
Type: Package
Title: The Artificial Neural Networks Algorithm Leabra
Version: 0.1.0
Authors@R: c( person("Johannes", "Titz", email = "johannes.titz@gmail.com", role = c("aut", "cre", "cph")), person("Sergio", "Verduczo-Flores", role = "cph"), person("Randall", "O'Reilly", role = "cph"))
Description: The algorithm Leabra (local error driven and associative biologically realistic algorithm) allows for the construction of artificial neural networks that are biologically realistic and balance supervised and unsupervised learning within a single framework. This package is based on the 'MATLAB' version by Sergio Verduzco-Flores, which in turn was based on the description of the algorithm by Randall O'Reilly (1996) <ftp://grey.colorado.edu/pub/oreilly/thesis/oreilly_thesis.all.pdf>. For more general (not 'R' specific) information on the algorithm Leabra see <https://grey.colorado.edu/emergent/index.php/Leabra>.
Depends: R (>= 2.10)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: plyr (>= 1.8.4), R6 (>= 2.2.1)
Collate: 'data.R' 'misc.R' 'unit.R' 'layer.R' 'network.R' 'leabRa.R'
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/johannes-titz/leabRa
BugReports: https://github.com/johannes-titz/leabRa/issues
NeedsCompilation: no
Packaged: 2017-09-22 09:45:35 UTC; jt
Author: Johannes Titz [aut, cre, cph], Sergio Verduczo-Flores [cph], Randall O'Reilly [cph]
Maintainer: Johannes Titz <johannes.titz@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-22 11:07:21 UTC

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Package AdaptFitOS updated to version 0.65 with previous version 0.62 dated 2015-06-16

Title: Adaptive Semiparametric Regression with Simultaneous Confidence Bands
Description: Fits semiparametric regression models with spatially adaptive penalized splines and computes simultaneous confidence bands.
Author: Manuel Wiesenfarth and Tatyana Krivobokova
Maintainer: Manuel Wiesenfarth <m.wiesenfarth@dkfz.de>

Diff between AdaptFitOS versions 0.62 dated 2015-06-16 and 0.65 dated 2017-09-22

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New package vpc with initial version 1.0.0
Package: vpc
Title: Create Visual Predictive Checks
Version: 1.0.0
Date: 2017-09-21
Author: Ron Keizer <ronkeizer@gmail.com>
Maintainer: Ron Keizer <ronkeizer@gmail.com>
Description: Visual predictive checks are a commonly used diagnostic plot in pharmacometrics, showing how certain statistics (percentiles) for observed data compare to those same statistics for data simulated from a model. The package can generate VPCs for continuous, categorical, censored, and (repeated) time-to-event data.
Depends: R (>= 3.1.0)
Imports: classInt, dplyr, reshape2, MASS, survival, ggplot2, readr
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/ronkeizer/vpc
Suggests: knitr, testit
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-22 03:50:06 UTC; ronkeizer
Repository: CRAN
Date/Publication: 2017-09-22 09:04:42 UTC

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Package WikidataR updated to version 1.4.0 with previous version 1.3.0 dated 2017-05-17

Title: API Client Library for 'Wikidata'
Description: An API client for the Wikidata <http://wikidata.org/> store of semantic data.
Author: Oliver Keyes [aut, cre], Serena Signorelli [aut, cre], Christian Graul [ctb], Mikhail Popov [ctb]
Maintainer: Oliver Keyes <ironholds@gmail.com>

Diff between WikidataR versions 1.3.0 dated 2017-05-17 and 1.4.0 dated 2017-09-22

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Package vetr updated to version 0.2.1 with previous version 0.2.0 dated 2017-09-17

Title: Trust, but Verify
Description: Declarative template-based framework for verifying that objects meet structural requirements, and auto-composing error messages when they do not.
Author: Brodie Gaslam [aut, cre], Paxdiablo [cph] (Hash table implementation in src/pfhash.h), R Core Team [cph] (Used/adapted several code snippets from R sources, see src/misc-alike.c and src/valname.c)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

Diff between vetr versions 0.2.0 dated 2017-09-17 and 0.2.1 dated 2017-09-22

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New package sglg with initial version 0.1.0
Package: sglg
Type: Package
Title: Fitting Semi-Parametric Generalized log-Gamma Regression Models
Version: 0.1.0
Author: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com> and G. Paula and L. Vanegas
Maintainer: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>
Description: Set of tools to fit a linear multiple or semi-parametric regression models. Under this setup, the localization parameter of the response variable distribution is modeled by using linear multiple regression or semi-parametric functions, whose non-parametric components may be approximated by natural cubic spline or P-splines. The supported distribution for the model error is a generalized log-gamma distribution which includes the generalized extreme value distribution as an important special case.
Depends: R (>= 3.1.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
Imports: ssym, robustloggamma, Formula, survival, methods, graphics, stats
NeedsCompilation: no
Packaged: 2017-09-22 01:18:57 UTC; Sandrita
Repository: CRAN
Date/Publication: 2017-09-22 08:36:50 UTC

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New package RcmdrPlugin.sutteForecastR with initial version 1.0.0
Package: RcmdrPlugin.sutteForecastR
Type: Package
Title: 'Rcmdr' Plugin for Alpha-Sutte Indicator 'sutteForecastR'
Version: 1.0.0
Date: 2017-09-08
Authors@R: c(person("Ansari Saleh", "Ahmar", role = c("aut", "cre"), email = "ansarisaleh@unm.ac.id"))
Author: Ansari Saleh Ahmar [aut, cre]
Maintainer: Ansari Saleh Ahmar <ansarisaleh@unm.ac.id>
Depends: R (>= 3.0), Rcmdr (>= 1.8-3), sutteForecastR
Description: The 'sutteForecastR' is a package of Alpha-Sutte indicator. To make the 'sutteForecastR' user friendly, so we develop an 'Rcmdr' plug-in based on the Alpha-Sutte indicator function.
License: GPL (>= 2)
URL: https://www.r-project.org, http://www.ansarisaleh.web.id
NeedsCompilation: no
Packaged: 2017-09-21 21:59:27 UTC; sutte
Repository: CRAN
Date/Publication: 2017-09-22 08:44:55 UTC

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New package qrcmNL with initial version 0.1.0
Package: qrcmNL
Type: Package
Title: Nonlinear Quantile Regression Coefficients Modeling
Version: 0.1.0
Author: Gianluca Sottile [aut, cre], Giovanna Cilluffo [aut, ctb], Paolo Frumento [aut, ctb], Matteo Bottai [ctb]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>
Description: Nonlinear parametric modeling of quantile regression coefficient functions. Frumento P and Bottai M (2016) <doi:10.1111/biom.12410>.
Imports: stats, graphics, grDevices, utils
License: GPL-2
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-22 07:30:17 UTC; gianlucasottile
Repository: CRAN
Date/Publication: 2017-09-22 08:42:11 UTC

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New package googleLanguageR with initial version 0.1.0
Package: googleLanguageR
Title: Call Google's 'Natural Language' API, 'Cloud Translation' API and 'Cloud Speech' API
Version: 0.1.0
Authors@R: c(person("Mark", "Edmondson", email = "r@sunholo.com", role = c("aut", "cre")), person("Neal", "Richardson", email = "neal.p.richardson@gmail.com", role = "rev", comment = "Neal reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/127>"), person("Julia", "Gustavsen", email = "j.gustavsen@gmail.com", role = "rev", comment = "Julia reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/127>") )
Description: Call 'Google Cloud' machine learning APIs for text and speech tasks. Call the 'Cloud Translation' API <https://cloud.google.com/translate/> for detection and translation of text, the 'Natural Language' API <https://cloud.google.com/natural-language/> to analyse text for sentiment, entities or syntax or the 'Cloud Speech' API <https://cloud.google.com/speech/> to transcribe sound files to text.
URL: http://code.markedmondson.me/googleLanguageR/
BugReports: https://github.com/MarkEdmondson1234/googleLanguageR/issues
Depends: R (>= 3.3.2)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Imports: assertthat, base64enc, googleAuthR, jsonlite, magrittr, purrr, stats, tibble
Suggests: cld2, httptest, knitr, rmarkdown, rvest, stringdist, tidyr, xml2
NeedsCompilation: no
Packaged: 2017-09-21 18:15:04 UTC; mark
Author: Mark Edmondson [aut, cre], Neal Richardson [rev] (Neal reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/127>), Julia Gustavsen [rev] (Julia reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/127>)
Maintainer: Mark Edmondson <r@sunholo.com>
Repository: CRAN
Date/Publication: 2017-09-22 08:51:56 UTC

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Package glmnet updated to version 2.0-13 with previous version 2.0-12 dated 2017-09-13

Title: Lasso and Elastic-Net Regularized Generalized Linear Models
Description: Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. Two recent additions are the multiple-response Gaussian, and the grouped multinomial regression. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the paper linked to via the URL below.
Author: Jerome Friedman [aut, cre], Trevor Hastie [aut, cre], Noah Simon [aut, ctb], Junyang Qian [ctb], Rob Tibshirani [aut, cre]
Maintainer: Trevor Hastie <hastie@stanford.edu>

Diff between glmnet versions 2.0-12 dated 2017-09-13 and 2.0-13 dated 2017-09-22

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Package burnr updated to version 0.2.1 with previous version 0.2.0 dated 2017-05-30

Title: Fire-History Analysis in R
Description: Basic tools to analyze forest fire history data (e.g. FHX) in R.
Author: Steven Malevich [aut, cre], Christopher Guiterman [ctb], Ellis Margolis [ctb]
Maintainer: Steven Malevich <malevich@email.arizona.edu>

Diff between burnr versions 0.2.0 dated 2017-05-30 and 0.2.1 dated 2017-09-22

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